Hierarchical classification with multi-path selection based on granular computing. - Shunxin Guo; Hong Zhao 002 (Artif. Intell. Rev., 2021)

Hierarchical feature selection with multi-granularity clustering structure. - Shunxin Guo; Hong Zhao 002; Wenyuan Yang (Inf. Sci., 2021)

Hierarchical classification of data with long-tailed distributions via global and local granulation. - Hong Zhao 002; Shunxin Guo; Yaojin Lin (Inf. Sci., 2021)

Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes. - Shunxin Guo; Hongsong Wang; Xin Geng (CoRR, 2023)

Dynamic heterogeneous federated learning with multi-level prototypes. - Shunxin Guo; Hongsong Wang; Xin Geng 001 (Pattern Recognit., 2024)

STHFL: Spatio-Temporal Heterogeneous Federated Learning. - Shunxin Guo; Hongsong Wang; Shuxia Lin; Xu Yang 021; Xin Geng 001 (CoRR, 2025)

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning. - Shunxin Guo; Jiaqi Lv; Qiufeng Wang; Xin Geng 001 (CoRR, 2025)

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning. - Shunxin Guo; Jiaqi Lv; Xin Geng 001 (CoRR, 2025)

Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization. - Shunxin Guo; Hongsong Wang; Shuxia Lin; Zhiqiang Kou; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)